17 citations · 46 across the 7 of their papers we have counts for
12 papers
AdaNeRF: Adaptive Sampling for Real-time Rendering of Neural Radiance Fields
Andreas Kurz, Thomas Neff, Zhaoyang Lv +2
Novel view synthesis has recently been revolutionized by learning neural radiance fields directly from sparse observations. However, rendering images with this new paradigm is slow…
LiveView: Dynamic Target-Centered MPI for View Synthesis
Sushobhan Ghosh, Zhaoyang Lv, Nathan Matsuda +3
Existing Multi-Plane Image (MPI) based view-synthesis methods generate an MPI aligned with the input view using a fixed number of planes in one forward pass. These methods produce…
STaR: Self-supervised Tracking and Reconstruction of Rigid Objects in Motion with Neural Rendering
Wentao Yuan, Zhaoyang Lv, Tanner Schmidt +1
We present STaR, a novel method that performs Self-supervised Tracking and Reconstruction of dynamic scenes with rigid motion from multi-view RGB videos without any manual annotati…
SENSE: a Shared Encoder Network for Scene-flow Estimation
Huaizu Jiang, Deqing Sun, Varun Jampani +3
We introduce a compact network for holistic scene flow estimation, called SENSE, which shares common encoder features among four closely-related tasks: optical flow estimation, dis…
miniSAM: A Flexible Factor Graph Non-linear Least Squares Optimization Framework
Jing Dong, Zhaoyang Lv
Many problems in computer vision and robotics can be phrased as non-linear least squares optimization problems represented by factor graphs, for example, simultaneous localization…
Multi-class Classification without Multi-class Labels
Yen-Chang Hsu, Zhaoyang Lv, Joel Schlosser +2
This work presents a new strategy for multi-class classification that requires no class-specific labels, but instead leverages pairwise similarity between examples, which is a weak…